retinex

卡尔曼滤波理论和实践，第三版，经典书籍，值得参考(Kalman filtering theory and practice, third edition, classic books, it is also useful)

灰色预测模型，详细介绍了灰色预测的理论及前景(Grey forecasting model, described in detail the theory and prospects Grey)

基于灰度共生矩阵提取图像纹理特征，FC为生成的特征向量(This is a method to extract features from an image by GLCM)

DVB-T 2k模式定时估计Matlab仿真。包括导频和TPS插入，瑞利多径信道衰减，高斯噪声加入。 定时估计的粗定时用极大似然法，利用循环前缀特征，不需要专门训练序列。细定时用分散导频。首先确定导频模式，再通过相邻导频相关确定定时偏差。此方法适用于瑞利多径信道，高斯信道，也适用于莱斯多径信道。(DVB-T 2k timing estimation.)

本文件夹叙述了电网K次谐波计算的推导过程，并提供MATLAB仿真文件验证计算的正确性，可以使用的仪器或设备谐波检测(本文件夹叙述了电网K次谐波计算的推导过程，并提供MATLAB仿真文件验证计算的正确性，可以使用的仪器或设备谐波检测 This file describes derivation calculation K power harmonics, and provide correct MATLAB simulation file verification calculation, can detect instrument or equipment harmonics using )

脱机手写体识别Matlab源程序 包括特征提取、bayes分类器、K近邻分类及最近邻分类。 TestScriptRecognition.m：测试代码 ScriptFeaExtract.m ：特征提取 KNearestEstimate.m ：K近邻估计 NearestEstimate.m : 最近邻估计 BayesTrain.m ：训练bayes分类器 Bayes.m ：测试bayes分类器 CrossValidate.m ：m交叉验证 (Offline Handwriting Recognition Matlab source including feature extraction, bayes classifier, K-nearest neighbor and nearest neighbor classifier. TestScriptRecognition.m : ScriptFeaExtract.m test code : Feature Extraction KNearestEstimate.m : K-nearest neighbor is estimated NearestEstimate.m : nearest neighbor is estimated BayesTrain.m : Training bayes classifier Bayes.m : Test bayes classifier CrossValidate.m : m cross-certification)

FM信号的产生与接收,给定调制信号和载波信号进行信号调制，绘制频谱并且解调已调信号(FM modulation simulator)

In mathematics and signal processing, the Z-transform converts a discrete time-domain signal, which is a sequence of real or complex numbers, into a complex frequency-domain representation. It can be considered as a discrete-time equivalent of the Laplace transform. This similarity is explored in the theory of time scale calculus.

ensemble卡尔曼滤波模型，能很好的在matlab上运行，并有好的结果(ensemble Kalman filter model, can be a good run in matlab and have good results)

基于matlab的模糊均值C的聚类程序，可以实现彩色图像的聚类，能实现程序时间统计(Matlab-based fuzzy mean C clustering procedures, can achieve color image clustering, to achieve the program time statistics)